One failing flow, up to three delivery hours. Evidence-backed findings and a fixed-scope quote — or an explicit no-go. Targeted within two business days of payment and complete prerequisites. No production edits under a diagnosis.
Return home White-label automation
rescue & delivery.
One stalled automation integration, taken over and delivered as a tested, documented handoff. Fixed scope, fixed price. You keep the client relationship; I handle the implementation.
An accountable implementation partner
You work directly with Morpheus of VYZYN AI Labs — one accountable engineer for the integration, not a reseller pool or an offshore queue. The work is scoped, executed, tested, and handed back with documentation your team can reproduce. AI-assisted implementation is reviewed and tested before delivery, and client data is never sent to third-party AI services without your explicit permission.
One stalled integration, delivered
The best fit is a custom Python/API or webhook data flow that has stalled — duplicate events, rejected payloads, unreliable retries, or client-scoped access that is not holding. You bring an existing codebase, documented APIs, and an authorized staging environment; I reproduce the failure and deliver a bounded fix.
What you receive
- A reproduced failure, established before any change.
- One bounded fix to a single source-to-destination flow.
- Regression and failure-path tests.
- A payload / field contract for the flow.
- Deployment and rollback instructions.
- A short written handoff your team can reproduce from.
No open-ended rebuild, no unlimited revisions, and no standing support or uptime commitment. One correction pass is included for scope-conforming defects reported within seven days of handoff; new requirements are scoped separately.
White-label by default
Your agency stays client-facing throughout. I work behind your relationship as the implementation layer — I do not contact your client, take over the account, or insert myself into the relationship. You own the client; I own getting the integration working and handed back cleanly.
Technical proof, stated honestly
An existing Python/FastAPI integration core was re-tested locally and passed 19 selected regression tests, plus two demonstrations run against that unchanged implementation using only synthetic tenants and fixtures — 21 total, no failures. Observed behavior included:
- Replay and conflict handling — an identical retry returns the same receipt; a changed replay is rejected as a conflict.
- Client isolation — an authorized tenant sees its own call; another tenant sees none; missing authentication is refused.
- Signature validation — a valid synthetic provider signature is normalized and ingested; an invalid signature is rejected.
What this supports: bounded API and webhook repair involving validation, duplicate handling, authentication boundaries, and a testable handoff. What it does not claim: that any agency has bought this service, that a specific live provider currently works, production concurrency or load behavior, compliance certification, or delivery speed. Raw source, client data, and internal test logs are not published.
Inspect before quoting
Includes the diagnosis credit if accepted within 14 days. One flow, at most two existing systems, one failure class. Scope and timing are confirmed after inspection — never promised before it. Larger or net-new work is quoted separately.
No claim of Zapier, Make, HubSpot, or other platform certification. No migrations, regulated-data processing, UI redesign, or production changes without explicit scope and authorization.
Describe the one handoff that is stuck
Send a redacted description of the single integration that has stalled — the source, the destination, and how it is failing. I will confirm fit before taking a paid diagnosis. Do not send passwords, access tokens, or client credentials by email.
Start with hello@vyai.net